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Analysis of Variance for Random Models
Volume I: Balanced Data Theory, Methods, Applications and Data Analysis
Langbeschreibung
ANOVA models involving random effects have found widespread application to experimental design in varied fields such as biology, econometrics, and engineering. Volume I of this two-part work is a comprehensive presentation of methods and techniques for point estimation, interval estimation, and hypotheses tests for linear models involving random effects. Volume I examines models with balanced data (orthogonal models); Volume II studies models with unbalanced data (non-orthogonal models).Accessible to readers with a modest mathematical and statistical background, the work will appeal to a broad audience of graduate students, researchers, and practitioners. It can be used as a graduate text or as a self-study reference.
Hauptbeschreibung
ANOVA models involving random effects have found widespread application to experimental design in varied fields such as biology, econometrics, and engineering. Volume I of this two-part work is a comprehensive presentation of methods and techniques for point estimation, interval estimation, and hypotheses tests for linear models involving random effects. Volume I examines models with balanced data (orthogonal models); Volume II studies models with unbalanced data (non-orthogonal models).
Inhaltsverzeichnis
1 Introduction.- 2 One-Way Classification.- 3 Two-Way Crossed Classification without Interaction.- 4 Two-Way Crossed Classification with Interaction.- 5 Three-Way and Higher-Order Crossed Classifications.- 6 Two-Way Nested Classification.- 7 Three-Way and Higher-Order Nested Classifications.- 8 General Balanced Random Effects Model.- Appendices.- General Bibliography.- Author Index.
ISBN-13:
9780817632304
Veröffentl:
2004
Erscheinungsdatum:
27.05.2004
Seiten:
516
Autor:
Mario M. Ojeda
Gewicht:
934 g
Format:
241x160x33 mm
Sprache:
Englisch
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